👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

This is a jupyter notebook with 8 different solutions for common problems of digital image processing, including object recognition and binarization using adaptative threshold.

Computer Graphics Lab (Javascript, WebGL), Digital Image Processing Lab(MATLAB), Pattern Recognition Lab(Python), Soft Computing Lab(Python).

A project of Jupyter Notebook by Python with Digital Image and Video Processing

Jupyter-Notebooks for Image Processing done as a part for requirement of the course "Digital Image Processing" (course-code: CSE 478) @ IIITH.

Gradual Steps of Digital Image Processing (+ Computer Vision). Programming Language: Python 3.7 with IDE: Jupyter Notebook

This Repository is all about the popular Digital Image Processing Lab concepts and their variations, which can be helpful to Machine learning. I have tried Digital Image Processing Lab for all problem solutions using Python Programming Language and the Jupyter Notebook program.

This is a jupyter notebook with 8 different solutions for common problems of digital image processing, including corners detection and image description and representation.

The attached Colab notebook contains code snippets for edge detection using the Sobel Operator (both horizontal and vertical masks) and line detection using the horizontal, vertical, +45 degrees and -45 degrees masks.